Abstract
In this paper, we investigate the problem of key radar signal sorting and recognition in electronic intelligence (ELINT). Our major contribution is the development of a combined approach based on clustering and PRI transform algorithm, to solve the problem that the traditional methods based on Pulse Description Words (PDW) were not exclusively targeted at tiny particular signals and, less time-efficient. We achieve this in three steps: firstly, PDW presorting is carried out by the DBSCAN clustering algorithm, then, PRI estimates of each cluster are obtained by the PRI transformation algorithm, finally, by judging the matching between various PRI estimates and key targets, it is determined whether the current signal contains key target signals or not. Simulation results show that the proposed method should improve the time efficiency of key signal recognition and deal with the complex signal environment with noise interference and overlapping signals.
Highlights
Battlefield information superiority is the focus of both sides in information warfare
pulse description word (PDW) refers to the time of arrival (TOA), direction of arrival (DOA), radio frequency (RF), pulse width (PW), pulse amplitude (PA), etc., extracted by the radar reconnaissance receiver from a single radar pulse
Based on the above problems, this paper proposes a key radar signal sorting and identification method using DBSCAN clustering algorithm combined with pulse repetition interval (PRI) transform
Summary
Battlefield information superiority is the focus of both sides in information warfare. The sorting and recognition of complex signals is an important function of electronic support measures (ESMs) It is a process of comparing the measured signal parameters with those accumulated in advance to confirm the original properties of the radiation source. Based on the above problems, this paper proposes a key radar signal sorting and identification method using DBSCAN clustering algorithm combined with PRI transform. The matching between various PRI estimates and key targets is judged to determine whether the current signal contains key target signals This method can be used to process PDW data of pulse signals in real time, which is highly targeted and improves the recognition time of key signals
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
